Drones for litter mapping: An inter-operator concordance test in marking beached items on aerial images

被引：37

作者：

Andriolo, Umberto ^{[1
]}

Goncalves, Gil ^{[1
,2
]}

Rangel-Buitrago, Nelson ^{[3
]}

Paterni, Marco ^{[4
]}

Bessa, Filipa ^{[5
]}

Goncalves, Luisa M. S. ^{[1
,6
]}

Sobral, Paula ^{[7
]}

Bini, Monica ^{[8
,9
]}

Duarte, Diogo ^{[1
]}

Fontan-Bouzas, Angela ^{[10
,11
]}

Goncalves, Diogo ^{[1
,12
]}

Kataoka, Tomoya ^{[13
]}

Luppichini, Marco ^{[8
,14
]}

Pinto, Luis ^{[15
]}

Topouzelis, Konstantinos ^{[16
]}

Velez-Mendoza, Anubis ^{[17
]}

Merlino, Silvia ^{[18
]}

机构：

[1] INESC Coimbra, Dept Elect & Comp Engn, Polo 2, P-3030290 Coimbra, Portugal

[2] Univ Coimbra, Dept Math, Coimbra, Portugal

[3] Univ Atlantico, Fac Ciencias Basicas, Programa Fis, Barranquilla, Colombia

[4] Inst Clin Physiol, CNR Natl Res Council, Rome, Italy

[5] Univ Coimbra, MARE Marine & Environm Sci Ctr, Dept Life Sci, Calcada Martim Freitas, P-3000456 Coimbra, Portugal

[6] Nova IMS Univ Lisbon, Sch Technol & Management, Polytechn Leiria, Lisbon, Portugal

[7] NOVA Univ Lisbon, NOVA Sch Sci & Technol, MARE Marine & Environm Sci Ctr, Lisbon, Portugal

[8] Univ Pisa, Dept Earth Sci, Via S Maria,53, I-56126 Pisa, Italy

[9] Ist Nazl Geofis Vulcanologia INGV, Sez Pisa,Via Cesare Battisti 53, I-56125 Pisa, Italy

[10] Univ Vigo, Ctr Investigact Marina, GEOMA, Campus Santiago, Vigo 36310, Spain

[11] Univ Aveiro, Phys Dept CESAM, Campus Santiago, P-3810193 Aveiro, Portugal

[12] Univ Coimbra, Dept Civil Engn, Rua Luis Reis Santos Polo II, P-3030788 Coimbra, Portugal

[13] Ehime Univ, Dept Civil Environm Engn, 3 Bunkyo cho, Matsuyama, Ehime 7908577, Japan

[14] Univ Florence, Dept Earth Sci, Via Pira 4, I-50121 Florence, Italy

[15] Univ Coimbra, Dept Math, CMUC, Coimbra, Portugal

[16] Univ Aegean, Dept Marine Sci, Aegean, Greece

[17] Univ Atlantico, Fac Ciencias Basicas, Programa Biol, Barranquilla, Colombia

[18] Inst Marine Sci ISMAR CNR, CNR Natl Res Council, I-19032 Lerici, SP, Italy

来源：

MARINE POLLUTION BULLETIN | 2021年 / 169卷

关键词：

Plastics; Unmanned aerial vehicle (UAV); Remote sensing; Waste management; Coastal pollution; MARINE LITTER; COASTAL; ACCUMULATION; ACCURACY; PLASTICS; DEBRIS;

D O I：

10.1016/j.marpolbul.2021.112542

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Unmanned aerial systems (UAS, aka drones) are being used to map macro-litter on the environment. Sixteen qualified researchers (operators), with different expertise and nationalities, were invited to identify, mark and categorize the litter items (manual image screening, MS) on three UAS images collected at two beaches. The coefficient of concordance (W) among operators varied between 0.5 and 0.7, depending on the litter parameter (type, material and colour) considered. Highest agreement was obtained for the type of items marked on the highest resolution image, among experts in litter surveys (W = 0.86), and within territorial subgroups (W = 0.85). Therefore, for a detailed categorization of litter on the environment, the MS should be performed by experienced and local operators, familiar with the most common type of litter present in the target area. This work provides insights for future operational improvements and optimizations of UAS-based images analysis to survey environmental pollution.

引用

页数：11

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